https://github.com/vishalsiingh/deloitte-virtual-internship
Submission for the STEM Virtual Program by Deloitte via Forage.
https://github.com/vishalsiingh/deloitte-virtual-internship
coding cyber-security data-analysis deloitte development forage forensics
Last synced: 17 days ago
JSON representation
Submission for the STEM Virtual Program by Deloitte via Forage.
- Host: GitHub
- URL: https://github.com/vishalsiingh/deloitte-virtual-internship
- Owner: vishalsiingh
- Created: 2025-01-27T08:01:24.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-27T08:13:44.000Z (4 months ago)
- Last Synced: 2025-01-27T09:22:43.007Z (4 months ago)
- Topics: coding, cyber-security, data-analysis, deloitte, development, forage, forensics
- Homepage:
- Size: 9.11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Deloitte Forage
This repository contains my submission for the Deloitte STEM Virtual Program. In this program, students are asked to help Daikibo Industrials (a global leader in manufacturing of heavy machinery) with a variety of problems that they are facing.
# đź“ŠTask 01 - Data Analysis
Daikibo's tech team has converted all telemetry data collected from the 4 factories of the company:
-Daikibo Factory Meiyo (Tokyo, Japan)
-Daikibo Factory Seiko (Osaka, Japan)
-Daikibo Berlin (Berlin, Germany)
-Daikibo Shenzhen (Shenzhen, China)
Each location has 9 types of machines, sending a message every 10 min. Daikibo has been collecting this data for 1 month (May 2021) and they've just shared this data in the form of a single JSON file. The reason this client wanted to collect telemetry was to answer 2 questions:
1. In which location did machines break the most?
2. What are the machines that broke most often in that location?
By completing this task, I learned how to use the famous Analytics tool Tableau to build an interactive dashboard that helps the Daikibo's tech team to answer their questions.
# đź’»Task 02 -Forensic Technology
After a worrisome number of internal complaints about gender inequality (in terms of pay), Daikibo Industrials wants us to help them investigate. The Forensic Tech team has built an algorithm to quantify the “level of gender pay equality” for most/all job roles within the company, in all company locations.
Doing this task allowed me to refresh my memory on Excel functions.